Abstract
While full computer understanding of dynamic visual scenes containing several people may be currently unattainable, we propose a computationally efficient approach to determine areas of interest in such scenes. We present methods for modeling and interpretation of multi-person human behavior in real time to control video cameras for visually mediated interaction.